The Relationship between Anxiety and Positive and Negative Advertising Appeals
Advertising Appeals on Global Cultural Spectrumwebapps.roanoke.edu/businessweb/SEINFORMS 2011... ·...
Transcript of Advertising Appeals on Global Cultural Spectrumwebapps.roanoke.edu/businessweb/SEINFORMS 2011... ·...
Abstract: The research focuses on consumer advertising appeals on a cross cultural spectrum. It is imperative for
advertising agencies to understand that each culture is not only different on a global cultural spectrum but also
unique in different sub-cultures. The perceptions of advertising appeals are ever changing and this research study
discusses the different appeals used to target consumers across the global cultural spectrum. This study addresses
the following questions:
• Which emotional appeals to use when targeting different cultures?
• How appeals differ in different cultures and subcultures across the globe?
• How do males and females react to different hard-sell and soft-sell (warmth, humor and eroticism)
advertising appeals?
The research paper proposes the AD Hard-Soft conceptual framework which focuses on attitudes toward the ad,
brand and purchase intentions through the usage of hard-sell and soft-sell advertising appeals. The paper uses
qualitative research wherein different ads with varying advertising appeals were utilized and their findings are
recorded. The differences between hard-sell and soft-sell are highlighted through this research.
Key Words: Advertising Appeals, Global Cultural Spectrum, Hard-Sell, Soft- Sell, Sex Appeals
I. INTRODUCTION & REVIEW
As globalization continues to develop at a fast pace, many consumers are being able to view
advertisements of products from regions they could not view a few years ago. According to (Kalliny &
Gentry, 2007), the diminishing of national boundaries has increased more than ever the selection of
products and brand names from which customers can choose. Many of the top 100 brands have
worldwide presence in more than 100 countries (Mueller, Okazaki, & Taylor, 2010).
Hard sell refers to a more direct approach to selling which in contrast soft-sell approaches are more
subtle and indirect (Okazaki, Mueller, & Taylor, 2010 a). The approach is also viewed as the difference
of video advertising between commercials (soft-sell) and infomercials (hard-sell). These hard-sell
appeals exploit the values of having more words and fewer pictures or more pictures and fewer words
which can make a major impact on the effectiveness of certain. In Figure 1 below (Okazaki, Mueller, &
Taylor, 2010 a) the comparison of hard sell and soft sell are illustrated below through the two different
automobile ads. The picture on the left has a soft sell approach to selling this car. There are two
headlines about the approach that is completely irrelevant to the car. The second picture to the right is a
more hard sell direct approach. There are less pictures and they go on to say that there is no equal
comparing them to other companies.
Figure 1: Soft Sell versus Hard Sell Ads
In this research study, hard-sell and soft-approaches are compared and contrasted. The soft-sell approach
is more suitable when it is based on image-oriented content that does not emphasize specific reasons to
buy but rather conveys general association with the brand (Okazaki, Mueller, and Taylor, 2010 a). This
is why Japan, China, India, and other Eastern nations favorably use soft-sell approaches that will not
offend consumers by using a direct aggressive approach. It is culturally offensive and even disrespectful
to directly approach consumers with the benefits and features of a product or service without first luring
them in with a favorable image, perhaps through sensitivity of emotions which are culturally significant
and relevant. In contrast, the hard-sell approach is based on distinct and explicit content that emphasizes
product advantages, performance (Okazaki, Mueller, and Taylor, 2010 b) and the factual information
may be mixed easily with soft-sell by way of imagery and animation.
In contrast to the many definitions that have been provided for hard-sell and soft-sell in the advertising
literature, there is no common definition or specific device that can be used to measure either type of
appeal.
The research goal is to compare and contrast the effectiveness of hard-sell and soft-sell approaches vis-
à-vis different cultures. This research addresses the following questions.
• Why is soft-sell appeal more effective for brand awareness, while hard-sell is more effective to
persuade a consumer to make an immediate purchase;
• Why culture is the reason advertising appeals must differ to be effective in target markets of
various geographic locations; and
• How modern trends are influencing people of different cultures to be more acceptant of
advertising appeals that would otherwise be rejected.
The research proposes the AD Hard-Soft conceptual framework highlighting the attitudes toward the
advertising, brand and purchase intentions with the usage of hard-sell and soft-sell advertising appeals.
II. LITERATURE REVIEW
Okazaki, Mueller, and Taylor (2010 b) notes that the hard-sell and soft-sell advertising concepts have
been researched and provided with definitions since 1911. Through intensive research, reviews, and
discussions they “proposed that three fundamental dimensions underlie soft-sell and hard-sell appeals:
feeling vs. thinking, implicit versus explicit, and image versus fact” (Okazaki, Mueller, and Taylor, 2010
b). Soft-sell approaches that displayed images, beautiful pictures and scenery, and other indirect
methods were less annoying and aggressive.
(Chu, Gerstner, and Hess, 1995) concluded that hard-sell approaches had a better chance of surviving in
a more competitive environment, consumers are negatively affected, and sellers gain more from making
their products better (to make features more appealing than competitors). In fact, telemarketers are
taught not to use hard-sell approaches at all, but to simply use a script that detects interested consumers
(Jolson, 1986). Soft-sell approaches may be more effective when selling products that provide pleasure,
whereas technological and functional products and services sell best with a hard-sell approach that can
promote the features and benefits. However, simply using a hard-sell approach may fail if good
customer service and satisfaction is not provided for the consumer (Marr and Prendergast, 1990).
To further distinguish between hard-sell and soft-sell, “….three primary dimensions of soft-sell appeals:
feeling (creative, instinctive, imaginative, and abstract), implicitness (insinuation, appealing, subjective,
and expressive), image (entertaining, interpretive, playful, and impression based)” were provided by
Okazaki, Mueller, and Taylor (2010 b). On the other hand, Okazaki, Mueller, and Taylor (2010 a) stated
that hard-sell appeals consist of three dimensions: thinking (rational, logical, analytic, factual, and
concrete), explicitness (precise, explanation, convincing, persuasion, and instructive), and fact
(educational, descriptive, realistic, informative, and evidence-based).
Bülbül and Menon (2010) provided distinctions of how hard-sell appeals are more concrete and they
may generate behavioral responses instantly. Their research suggested that hard-sell advertisements
influence the consumer to make a decision immediately, but loyalty will not be established as it would
through the feelings that are generated through soft-sell advertisements that produce emotions. Chandy,
Tellis, Macinnis, and Thaivanich (2001) provide a framework for determining why certain appeals work
better in different markets and cultures. Chinese commercials use more soft-sell approaches because it is
not polite to be direct in the Chinese culture (Lin, 2001).
Most modern, Western nations use more hard-sell approaches, with the exception of Britain. Britain uses
soft-sell approach widely and effectively due to the presence of multi-cultural diverse population,
differences in the social-cultural contexts, advertising industry environment variances, and differences in
philosophy and execution that may be controlled by government and political structure (Nevett, 1992).
Sexual Appeals in Advertising
“Sexual appeals in advertising often are composed of a variety of execution elements, including visual
elements (e.g., attractive models and nudity), suggestive verbal elements and music, or “scent-strip”
advertising (Garcia & Yang, 2006). It can be stated that different regulations in different countries play a
major role in what is advertised and what is not. “Such restrictions may
also be applied to advertising codes in China, for our findings also indicated Chinese ads in both TV and
magazine showed the lowest degrees of nudity across all countries” (Paek & Nelson, 2007). Due to
China’s strong regulations on nudity on television, the culture in China can be perceived as one who
does not agree with the sexual appeals of advertising. Many advertisers would have to create a new
campaign to target their product to a Chinese consumer if their product had any signs of sexual appeals
in the advertisement.
Figure 2: Sexual Appeal used in Axe Body Spray – Banned in some countries
In the Figure 2 above is a popular commercial from Axe Body Spray being advertised in many
countries. The commercial starts by showing a man that turn into a chocolate figurine after dousing
himself in Axe Dark Temptation body spray. While wandering the streets and through different areas of
his city he is licked and at the end a woman takes a bite out of his butt. This commercial is considered
very risqué in parts of the world such as India where this advertisement has been banned by the
government. This is a very prime example on the importance of knowing your region and making sure
your advertisements are adaptable.
Figures 3 and 4 are both Levi’s advertisements using different methods to appeal to different crowds.
Figure 3 is an advertisement where everyone is fully clothed and there is a simple tagline. Figure 4 uses
more of a sexual appeal by using a topless male actor and a female feeling on his genital area. When a
small focus group was asked to select the best way to convey the message, the views were split 50% by
50%. Many of the students in the focus group felt the clothed models were more decent and more
interesting. One student wrote, “Great message and tagline; it was not sexist or bias.” Some female
students felt that the shirtless model in Figure 4 was a lot better because they viewed the model as sexy.
A female student wrote, “He’s cute and it’s a sexy ad that I would like to see my boyfriend in.” It is safe
to say that sexual appeals can be used and be effective but often if the message is conveyed correctly
through words, it can be just as effective.
Brand and Ad Attitudes
Mitchell and Olson (1981) highlighted the major influence of the attitude towards the ad (Aad) by
demonstrating that the effect of visual and emotional elements on the attitude towards the brand (Ab) is
mediated by Aad. This theory assumes a direct link between Aad and Ab and implies that a positive
attitude towards the ad is directly carried over to a positive attitude towards the brand (Geuens and
Pelsmacker, 1998). Research has concluded that ad evaluations were debilitated by negative affect and
stimulated by positive affect (Goldberg and Gorn 1987; Mitchell 1986; Russo, Shah, and Park 1994;
Scrull 1983).
Figure 5 illustrates the Dual Mediation Hypothesis Model. This model has received most support as a
means of representing the interrelationships between Aad, brand and ad cognitions, Ab and PI
(MacKenzie and Lutz, 1989; Brown and Stayman 1992).
Figure 5: Dual Mediation Hypothesis Model
Figure 5 (Dual Mediation Hypothesis Model) supports models of Okazaki, Mueller, and Taylor (2010)
in a way that there is no direct correlation between the dimensions and the advertising appeals, but they
can be used as ad-measurements and consequences. Common feelings and other characteristics may be
apparent in certain types of appeals, but there has been no proof of how brand and ad attitudes, purchase
intention, purchase initiators, and other factors are directly correlated as a result of certain ads displaying
specific appeals.
III. CONCEPTUAL FRAMEWORK
Okazaki, Mueller, and Taylor (2010) provided with the models of hard-sell and soft-sell advertising
appeals. Dual Mediation Hypothesis Model elaborated on the relationships between ad and brand
cognitions, and ad and brand attitudes, leading to purchase intentions. A model called AD Hard-Soft
Framework (Figure 6) is conceptualized, illustrating the hard-sell and soft-sell advertising appeals and
their consequences on building ad and brand attitudes and purchase intentions. The model is created
from the goals and objectives of a firm, which may actually determine which appeal is used, along with
the cultural context of the firm / company.
The AD Hard-Soft model in Figure 6 illustrates the cause and effect relationship between the advertising
appeals (hard-sell and soft-sell), attitudes (towards the advertisement and brand), and subsequently to
purchase intentions.
Figure 6: AD Hard-Soft Conceptual Framework and Drivers of Hard-Sell and Soft-Sell Appeals
Purchase
Intentions
Attitude
Towards the
Ad
Attitude
Towards the
Brand
Hard Sell
Soft Sell
Thinking
Explicitness
Information/
Rational
Reasoning
Fact
Feeling
Implicitness
Inherent
Drama
Image
Figure 6 illustrates our conceptual framework - “AD Hard-Soft” model depicting the drivers of hard-sell
and soft-sell appeals and their consequences. We conceptualize a direct relationship of hard sell and soft
sell advertising appeals with attitude towards the advertisement, attitude towards the brand; which
further affect the purchase intentions. Figure 6 shows four drivers for hard sell advertising appeal –
thinking, explicitness, informational/rational reasoning and fact; and four drivers for soft sell advertising
appeal – feeling, implicitness, inherent drama and image. These drivers lead to the attitude towards the
ad, brand and purchase intentions.
IV. RESEARCH METHODOLOGY
A focus group research was conducted where a sample size of 70 undergraduate students at a
Historically Black College University (HBCU) was selected for the purpose of the research study, out of
which 45 were women. The group was divided into 2 focus groups of 35 students each. The study was
confined to alcoholic and automobile ads. There are several reasons for choosing these categories – all
subjects were old enough to drink legally and responsibly, and they had a common preference for cars /
automobiles. Seven Volumes of 5 business / fashion magazines and newspapers (Vanity Fair, Time,
Cosmopolitan, Wall Street Journal, and People) were screened – the result was an initial set of 33 ads in
three categories.
First Qualitative Stage – 33 ads / stimuli were presented to a jury of 15 students in order to judge the
degree of humor, warmth, eroticism of each stimulus. The results of this qualitative stage were ordered
category ranking of 33 stimuli – frequency counts were conducted and finally, 8 stimuli were selected –
2 stimuli with the highest number of assignments to the “humorous” category, 2 warm, 2 erotic, and 2
non-emotional/neutral hard-sell stimuli. The hard sell neutral stimulus was defined as the one often
assigned as “not humorous”, “not erotic”, and “not warm”).
Second Qualitative Stage - These 8 stimuli were then presented to the two focus groups of 35 students
each, in random order for each student. Randomization was used to avoid systematic measurement
errors as a result of respondent wear-out. Since the population at a HBCU is homogenous with similar
socio-demographic characteristics; only gender was included as a classification question. Thereafter, the
findings were recorded for these focus groups and generalized for males versus females.
V. RESEARCH FINDINGS
After conducting the research, we obtain the results as shown in Appendix I. Women feel more cheerful
then men when warm and soft sell ads are conveyed and the opposite is true for erotic stimuli – men feel
more cheerful than women when exposed to erotic ads. Soft Sell emotional appeals of warmth, humor
and eroticism lead to more positive feelings than the non-emotional hard sell appeals.
Brand interest, and positive emotion and impression about the brand and an ad, leads to positive
purchase intention. Soft sell strategies make ads more interesting and likeable leading to positive
intentions to buy, while hard-sell strategies ignite more likeability but do not strike interest in the target
audience.
VI. CONCLUSION
The research study revisits the concepts of advertising appeals, especially hard-sell and soft-sell appeals,
and explains how there is not one widely accepted definition for an appeal. However, the fundamental
dimensions to measure these appeals are widely accepted, as depicted in Figure 1a and 1b. Our proposed
AD Hard-Soft conceptual model may be accepted with new dimensions of information/ rational
reasoning dimension, inherent drama, and image, with theory and reasonable explanations. The
information/rational reasoning dimension has been added because it is needed to explain the functional
aspect of the hard-sell approach. Without information and reasoning, the functional perspective of the
hard-sell approach is non-existent in an advertising strategy. Likewise, the inherent drama dimension
has been added to the soft-sell model because emotions, feelings, and the other dimensions that measure
a soft-sell appeal do not exist if the advertising strategy cannot emphasize the benefits of purchasing a
product or service.
Our research findings are significant with respect to the use of warmth, humor and eroticism as soft-sell
appeals and neutral stimulus as hard sell appeal. The limitations of the study are that only print ads were
used and analyzed, students alone were included and existing products’ ads were used. It may be argued
that for new brands and new products, emotional soft-sell advertising appeals may be less suited and
informational hard-sell appeals will work better. Future research may focus on the new added
dimensions of hard-sell and soft-sell advertising appeal drivers.
REFERENCES
Brown, S.P., D.M. Stayman (1992) Antecedents and Consequences of Attitude towards the Ad: A Meta-
analysis. Journal of Consumer Research. 19, June, 34-51.
Bülbül C, Menon G. (2010) The Power of Emotional Appeals in Advertising. Journal of Advertising
Research. June 2010; 50(2):169-180.
Chandy R, Tellis G, Macinnis D, Thaivanich P. (2001) What to Say When: Advertising Appeals in
Evolving Markets. Journal of Marketing Research (JMR). November 2001; 38(4):399-414.
Chu W, Gerstner E, Hess J. (1995) Costs and Benefits of Hard-Sell. Journal of Marketing Research
(JMR). February 1995; 32(1):97-102.
Garcia, E., & Yang C.C., K. (2006). Consumer Responses to Sexual Appeals in Cross- Cultural
Advertisements. Journal of International Consumer Marketing , 19 (2), 23.
Goldberg, M.E., G.J. Gorn (1987) Happy and Sad TV Programs: How They Affect Reactions to
Commercials. Journal of Consumer Research. December; 387-403.
Geuens, Maggie, & Pelsmacker, Patrick de (1998) Feelings Evoked by Warm, Erotic, Humorous or
Non-Emotional Print Advertisements for Alcoholic Beverages. Academy of Marketing Science Review.
98 (1).
Jolson M. (1986) Prospecting by Telephone Prenotification: An Application of the Foot-In-The-Door
Technique. Journal of Personal Selling & Sales Management. August 1986; 6(2):39.
Kalliny, M., & Gentry, L. (2007). Cultural Values in Arab and American Television Advertising.
Journal of Current Issues and Research in Advertising , 29, 17.
Lin C. (2001) Cultural values reflected in Chinese and American television advertising. Journal of
Advertising. 2001; 30(4):83-94.
Mackenzie, S.B., R.J. Lutz (1989) An Empirical Examination of the Structural Antecedents of Attitude
Towards the Ad in an Advertising Pretesting Context. Journal of Marketing. 53, April, 48-65.
Marr N, Prendergast G. (1990) EFTPOS: The Perils of a Cost-Driven Venture. Service Industries
Journal. October 1990; 10(4):748-758.
Mitchell, A.A. (1986) The Effect of Verbal and Visual Components of Advertisements on Brand
Attitudes and Attitude towards the Advertisement. Journal of Consumer Research. June; 12-23.
Mitchell, A.A., J.C. Olson (1981) Are Product Attribute Beliefs the Only Mediator of Advertising
Effects on Brand Attitude? Journal of Marketing Research. 18 August, 318-332.
Mueller, B., Okazaki, S., & Taylor, C. R. (2010). Global Consumer Culture Positioning: Testing
Perceptions of Soft-Sell and Hard-Sell Advertising Appeals Between U.S. and Japanese Consumers.
Journal of International Marketing , 18 (2), 20-34.
Nevett T. (1992) Differences Between American and British Television Advertising: Explanations and
Implications. Journal of Advertising. December 1992; 21(4):61-71.
Okazaki S, Mueller B, Taylor C. (2010 a) Global Consumer Culture Positioning: Testing Perceptions of
Soft-Sell and Hard-Sell Advertising Appeals Between U.S. and Japanese Consumers. Journal of
International Marketing. June 2010; 18(2):20-34.
Okazaki S, Mueller B, Taylor C. (2010 b) Measuring soft-sell versus hard-sell advertising appeals.
Journal of Advertising. 2010; 39(2):5-20.
Paek, H.-J., & Nelson, M. (2007). A Cross-Cultural and Cross-Media Comparison of Female Nudity in
Advertising. Journal of Promotion Management , 13 (1), 145-167.
Russo France, K., R.H. Shah, C.W. Park (1994) The Impact of Emotional Valence and Intensity on Ad
Evaluation and Memory. Advances in Consumer Research. 21, 583-588.
Scrull, T.K. (1983) Affect and Memory: the Impact of Affective Reactions in Advertising on the
Representation of Product Information in Memory. Advances in Consumer Research. 10, 520-525.
Appendix I
Table 1- Perceived Level of Warmth, Eroticism, Humor, and Fear in Ads (1=low, 7=high)
Level of Warm Erotic Humor Fear Neutral
Warm 4.9 4.2 3.5 1.5 2.2
Erotic 3.7 4.4 1.8 1.3 2.1
Humor 3.3 2.7 5.1 2.3 1.5
Fear 3.4 2.8 2.1 4.9 2.5
Table 2 - Correlation Between Ad-Evoked Feelings
(1=strongest negative feeling; 7=strongest positive feeling)
Correlations
Worried _
carefree
Depressed _
cheerful
Insulted _
honored
Indifferent _
interested
Irritated __
pleased
Regretful __
rejoicing
worried _ carefree Pearson
Correlation
1 .634** .553
** .498
** .620
** .577
**
Sig. (1-tailed) .000 .000 .000 .000 .000
Covariance 2.835 1.537 1.261 1.222 1.529 1.366
Depressed __
cheerful
Pearson
Correlation
.634** 1 .628
** .536
** .675
** .712
**
Sig. (1-tailed) .000 .000 .000 .000 .000
Covariance 1.537 2.076 1.225 1.125 1.425 1.440
Insulted ___ honored Pearson
Correlation
.553** .628
** 1 .569
** .620
** .604
**
Sig. (1-tailed) .000 .000 .000 .000 .000
Covariance 1.261 1.225 1.835 1.123 1.231 1.150
Indifferent __
interested
Pearson
Correlation
.498** .536
** .569
** 1 .616
** .563
**
Sig. (1-tailed) .000 .000 .000 .000 .000
Covariance 1.222 1.125 1.123 2.125 1.315 1.152
Irritated __ pleased Pearson
Correlation
.620** .675
** .620
** .616
** 1 .636
**
Sig. (1-tailed) .000 .000 .000 .000 .000
Covariance 1.529 1.425 1.231 1.315 2.146 1.309
Regretful __ rejoicing Pearson
Correlation
.577** .712
** .604
** .563
** .636
** 1
Sig. (1-tailed) .000 .000 .000 .000 .000
Covariance 1.366 1.440 1.150 1.152 1.309 1.973
**. Correlation is significant at the 0.01 level (1-tailed).
Table 3 – Summary of Exploratory Factor Analysis results for Ad-Evoked Feelings
Rotated Factor Loadings
Cheerful
(reverse
coded) Insulted Irritated Interested
Carefree
(reverse
coded)
•Pessimistic _____ hopeful .777 .253 .156 .284 .177
•Callous _____ affectionate .731 .265 .180 .285 .172
•Dubious _____ confident .662 .258 .335 .229 .236
•Bad ______ good .618 .462 .385 .151 .024
•Cautious ____ adventurous .549 .353 .339 -.018 .449
•Critical ____ accepting .458 .376 .394 .125 .455
•Insulted _____ honored .237 .754 .194 .246 .153
•Depressed _____ cheerful .670 .282 .206 .317 .293
•Regretful _____ rejoicing .368 .668 .187 .219 .253
•Sad _______ happy .423 .607 .461 .100 .139
•Irritated ____ pleased .252 .224 .585 .339 .224
worried ___ carefree .258 .326 .284 .141 .784
nervous ___ calm .304 .260 .764 .201 .269
•Unemotional __ sentimental .215 .174 .081 .861 .266
•Indifferent ____ interested .288 .386 .266 .612 .287
•Contemplative __ impulsive .214 .265 .287 .205 .807
Eigenvalues 3.32 3.27 2.46 1.75 1.60
% of variance 20.77 20.49 15.37 10.92 9.97
Cronbach alpha 0.92 0.84 0.80 0.82 0.82
Extraction Method: Principal Component Analysis.
Rotation Method: Varimax with Kaiser Normalization.
Rotation converged in 7 iterations.
KMO and Bartlett's Test
Kaiser-Meyer-Olkin Measure of Sampling
Adequacy.
.967
Bartlett's Test of
Sphericity
Approx. Chi-Square 19284.226
Sig. .000
Table 4 - Perceived Level of Warmth, Eroticism, Humor, and Fear in Ads (1=low, 7=high) for
Males and Females
Level of Warm Erotic Humor Fear Neutral
Cheerful (Male) 3.5 4.1 3.5 2.5 4.2
Cheerful (Female) 3.9 3.2 3.9 1.5 3.2
Insulted (Male) 3.9 3.4 2.8 4.0 4.1
Insulted (Female) 3.7 4.4 3.8 4.3 3.9
Irritated (Male) 3.7 3.7 3.8 4.3 4.5
Irritated (Female) 3.3 3.9 3.5 3.8 4.1
Interested (Male) 3.8 4.5 3.6 3.9 3.5
Interested (Female) 3.7 4.0 3.4 4.3 2.8